_base_ = "./vfnet_r50_fpn_mstrain_2x_coco.py"
model = dict(
    pretrained="open-mmlab://res2net101_v1d_26w_4s",
    backbone=dict(
        type="Res2Net",
        depth=101,
        scales=4,
        base_width=26,
        num_stages=4,
        out_indices=(0, 1, 2, 3),
        frozen_stages=1,
        norm_cfg=dict(type="BN", requires_grad=True),
        norm_eval=True,
        style="pytorch",
    ),
)
